wehub-resource-sync
100 lines
3.3 KiB
C++
100 lines
3.3 KiB
C++
// Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <ATen/Functions.h>
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#include <ATen/core/TensorBody.h>
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#include <ATen/cuda/EmptyTensor.h>
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#include <ATen/native/cuda/Resize.h>
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#include <ATen/ops/tensor.h>
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#include <c10/core/ScalarType.h>
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#include <c10/core/SymInt.h>
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#include <c10/core/TensorOptions.h>
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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#include <c10/cuda/CUDAFunctions.h>
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#include <c10/cuda/CUDAGuard.h>
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#endif
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#include "ATen/ATen.h"
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#include "gtest/gtest.h"
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#include "paddle/common/macros.h"
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#include "paddle/phi/common/float16.h"
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#include "torch/all.h"
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COMMON_DECLARE_bool(use_stride_kernel);
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// ============================================================
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// Tests for at::Tensor::view_as(const at::Tensor& other)
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// ============================================================
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TEST(TensorViewAsTest, ViewAsSameShape) {
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// view_as with same shape: result has identical shape
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at::Tensor t = at::arange(12, at::kFloat).reshape({3, 4});
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at::Tensor other = at::zeros({3, 4}, at::kFloat);
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at::Tensor result = t.view_as(other);
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ASSERT_EQ(result.sizes(), other.sizes());
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ASSERT_EQ(result.numel(), t.numel());
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}
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TEST(TensorViewAsTest, ViewAsDifferentShape_CompatibleNumel) {
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if (!FLAGS_use_stride_kernel) {
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return;
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}
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// view_as with a different but numel-compatible shape
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at::Tensor t = at::arange(12, at::kFloat);
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at::Tensor other = at::zeros({3, 4}, at::kFloat);
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at::Tensor result = t.view_as(other);
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ASSERT_EQ(result.dim(), 2);
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ASSERT_EQ(result.sizes(), c10::IntArrayRef({3, 4}));
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}
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TEST(TensorViewAsTest, ViewAsPreservesData) {
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if (!FLAGS_use_stride_kernel) {
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return;
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}
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// Elements are accessible with the new shape and preserve original values
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at::Tensor t = at::arange(6, at::kFloat);
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// t = [0, 1, 2, 3, 4, 5]
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at::Tensor other = at::zeros({2, 3}, at::kFloat);
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at::Tensor result = t.view_as(other);
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// result[0] = [0,1,2], result[1] = [3,4,5]
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ASSERT_FLOAT_EQ(result[0][0].item<float>(), 0.0f);
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ASSERT_FLOAT_EQ(result[0][2].item<float>(), 2.0f);
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ASSERT_FLOAT_EQ(result[1][0].item<float>(), 3.0f);
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ASSERT_FLOAT_EQ(result[1][2].item<float>(), 5.0f);
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}
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TEST(TensorViewAsTest, ViewAs1D_Flattens) {
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if (!FLAGS_use_stride_kernel) {
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return;
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}
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// view_as a 1-D tensor to flatten a higher-rank tensor
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at::Tensor t = at::ones({2, 3, 4}, at::kFloat);
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at::Tensor flat_ref = at::zeros({24}, at::kFloat);
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at::Tensor result = t.view_as(flat_ref);
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ASSERT_EQ(result.dim(), 1);
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ASSERT_EQ(result.sizes(), c10::IntArrayRef({24}));
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}
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TEST(TensorViewAsTest, ViewAs_SameDataPointer) {
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// view_as should share the underlying data (no copy)
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at::Tensor t = at::arange(12, at::kFloat);
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at::Tensor other = at::zeros({3, 4}, at::kFloat);
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at::Tensor result = t.view_as(other);
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ASSERT_EQ(result.data_ptr(), t.data_ptr());
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}
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